All matches

1. FC Heidenheim 1846 — FC Energie Cottbus, 2. Bundesliga

Germany, 2. Bundesliga

1. FC Heidenheim 1846
1.2DWWWL
—
FC Energie Cottbus
1.9DWDLL
Outcome probability
452530
1. FC Heidenheim 184645%Draw25%FC Energie Cottbus30%

Model vs market

Our probability against the one implied by the bookmaker price. The Δ column is the gap in percentage points.

OutcomeModelMarketΔ
11. FC Heidenheim 184645%2.24—
XDraw25%4.00—
2FC Energie Cottbus30%3.30—

Quick markets

The three most common questions — our probability next to the bookmaker line.

Both teams to score

Yes71%

ours 1.41

No29%

ours 3.42

Over 2.5 goals

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Over 9.5 corners

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Average totals by team

A plain average for each side over its most recent matches — what the totals grow out of. A fact, not a model forecast.

Metric1. FC Heidenheim 1846FC Energie CottbusCombined
Goals scored1.501.833.33
Conceded0.831.502.33
Corners12.313.312.8
Cards2.02.54.5
Offsides
Throw-ins
Fouls
xG
Shots
Shots on target

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Average over the last 5 completed matches of each team. The combined column adds the two sides; only corners are averaged, because they already arrive as a match total.

Why the model reads the match this way

One argument in three stages: what the data shows, how the model reads it, and what follows.

  1. 1

    Signals

    Standing, freshness and possession. Biggest gaps first.

    1. FC Heidenheim 1846FC Energie Cottbus
    3Table position7
    1Matches in 14 days2
    44.80%Possession53.80%
    7Days of rest7.8
  2. 2

    Reading

    Written from the numbers of this run, not prepared in advance.

    Home advantage and current form favour 1. FC Heidenheim 1846: a home win is rated at 45%.

    Most likely scorelines:…

  3. 3

    Conclusion

    Two options at different prices of risk, and the largest gaps against the market.

    Safe pick
    Risky pick

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More possible scenarios

Three options at different prices of risk.

Conservativehigh probability, modest price
Basebalance of probability and price

First half total: Over 1.5

71%
High variancelow probability, high price

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Form and context

1. FC Heidenheim 1846

  • awayDSC Arminia Bielefeld2:2
  • homeKieler SV Holstein 19001:0
  • awaySpVgg Greuther Fürth1:0
  • homeSG Dynamo Dresden5:3
  • awayHertha BSC1:4

FC Energie Cottbus

  • homeFC St. Pauli1:1
  • awayKarlsruher SC3:0
  • awayVfL Wolfsburg4:4
  • homeSpVgg Greuther Fürth3:4
  • awayDSC Arminia Bielefeld0:3

Head to head

No head-to-head matches on record.

League table

Both teams and their nearest neighbours.

#TeamPWDLGoalsPts
1Hertha BSC660017:718
21. FC Nürnberg651016:616
31. FC Heidenheim 1846641114:1213
4VfL Wolfsburg632115:811
51. FC Kaiserslautern63216:411
61. FC Magdeburg631211:910
7FC Energie Cottbus622214:138
8FC St. Pauli61418:87
9VfL Bochum 184862135:67

Full breakdown

Every market the model prices. Our probability on the left, fair odds and the bookmaker line on the right.

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Probabilities are a model estimate, not a guarantee.